From 047ada4ef347b9557227685b9791d05451765cc6 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Thu, 26 May 2016 22:55:49 -0700 Subject: [PATCH] remove cruft from Schwarzian transform section --- Doc/faq/programming.rst | 31 +------------------------------ 1 file changed, 1 insertion(+), 30 deletions(-) diff --git a/Doc/faq/programming.rst b/Doc/faq/programming.rst index cfda37e1b9..8157124cda 100644 --- a/Doc/faq/programming.rst +++ b/Doc/faq/programming.rst @@ -1312,40 +1312,11 @@ I want to do a complicated sort: can you do a Schwartzian Transform in Python? The technique, attributed to Randal Schwartz of the Perl community, sorts the elements of a list by a metric which maps each element to its "sort value". In -Python, just use the ``key`` argument for the ``sort()`` method:: +Python, use the ``key`` argument for the :func:`sort()` function:: Isorted = L[:] Isorted.sort(key=lambda s: int(s[10:15])) -The ``key`` argument is new in Python 2.4, for older versions this kind of -sorting is quite simple to do with list comprehensions. To sort a list of -strings by their uppercase values:: - - tmp1 = [(x.upper(), x) for x in L] # Schwartzian transform - tmp1.sort() - Usorted = [x[1] for x in tmp1] - -To sort by the integer value of a subfield extending from positions 10-15 in -each string:: - - tmp2 = [(int(s[10:15]), s) for s in L] # Schwartzian transform - tmp2.sort() - Isorted = [x[1] for x in tmp2] - -For versions prior to 3.0, Isorted may also be computed by :: - - def intfield(s): - return int(s[10:15]) - - def Icmp(s1, s2): - return cmp(intfield(s1), intfield(s2)) - - Isorted = L[:] - Isorted.sort(Icmp) - -but since this method calls ``intfield()`` many times for each element of L, it -is slower than the Schwartzian Transform. - How can I sort one list by values from another list? ---------------------------------------------------- -- 2.40.0